Triple
T14170747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester River |
E351198
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Morgan Creek
Morgan Creek is a smaller waterway in Maryland that feeds into the Chester River as part of the Chesapeake Bay watershed.
|
E1364316
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Morgan Creek | Statement: [Chester River, hasTributary, Morgan Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Creek Context triple: [Chester River, hasTributary, Morgan Creek]
-
A.
Morgan Creek
Morgan Creek is a stream in North Carolina that serves as one of the tributaries feeding into B. Everett Jordan Lake.
-
B.
Canyon Creek
Canyon Creek is a smaller stream in Washington State that feeds into the Dungeness River within the Olympic Peninsula watershed.
-
C.
Aquilla Creek
Aquilla Creek is a stream in central Texas that flows through rural areas of Hill County and contributes to the region’s local watershed.
-
D.
Sulphur Creek
Sulphur Creek is a smaller mountain stream in Washington State that feeds into the Suiattle River within the North Cascades region.
-
E.
Sulphur Creek
Sulphur Creek is a scenic stream and canyon in Utah known for its waterfalls, narrow walls, and popular day-hike route within Capitol Reef National Park.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Morgan Creek Triple: [Chester River, hasTributary, Morgan Creek]
Generated description
Morgan Creek is a smaller waterway in Maryland that feeds into the Chester River as part of the Chesapeake Bay watershed.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Creek Target entity description: Morgan Creek is a smaller waterway in Maryland that feeds into the Chester River as part of the Chesapeake Bay watershed.
-
A.
Morgan Creek
Morgan Creek is a stream in North Carolina that serves as one of the tributaries feeding into B. Everett Jordan Lake.
-
B.
Canyon Creek
Canyon Creek is a smaller stream in Washington State that feeds into the Dungeness River within the Olympic Peninsula watershed.
-
C.
Aquilla Creek
Aquilla Creek is a stream in central Texas that flows through rural areas of Hill County and contributes to the region’s local watershed.
-
D.
Sulphur Creek
Sulphur Creek is a scenic stream and canyon in Utah known for its waterfalls, narrow walls, and popular day-hike route within Capitol Reef National Park.
-
E.
Sulphur Creek
Sulphur Creek is a smaller mountain stream in Washington State that feeds into the Suiattle River within the North Cascades region.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700c341c08190962c16d616a6e31a |
completed | May 15, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a0701325a28819090367843e04f2f3f |
completed | May 15, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0701d18c5c819091427fc872dd18cb |
completed | May 15, 2026, 11:21 a.m. |
Created at: April 10, 2026, 1:01 a.m.